Techno-Economic Assessment of a Grid-Independent Hybrid Power Plant for Co-Supplying a Remote Micro-Community with Electricity and Hydrogen

Xia, Tian; Rezaei, Mostafa; Dampage, Udaya; Alharbi, Sulaiman Ali; Nasif, Omaima; Borowski, Piotr F.; Mohamed, Mohamed A.

doi:10.3390/pr9081375

Cited by 41 publications

(10 citation statements)

References 54 publications

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“…The situation of the sector is expected to be improved soon by new legal acts and documents regarding utilisation of electricity and hydrogen. It is worth mentioning that in the world the use of hydrogen and electricity is constantly developing [51].…”

Section: Discussionmentioning

confidence: 99%

Problems of Selected Sectors of Biofuels for Transport in Poland

et al. 2021

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The paper discusses issues related to the sectors of biofuels for transport. Development directions of those sectors and factors limiting the growth rate thereof are analysed. At present, researchers’ attention is increasingly focused on development of the alternative fuels sector. Moreover, issues related to waste used in the sector of alternative fuels are now among the leading undertakings of environmental engineering. The authors have analysed the potential of biofuels sectors in Poland taking into account the EU’s legislative requirements. The paper contains a discussion of the sector of esters, liquid biofuels, sector of lignocellulose, sector of liquid bio-hydrocarbons and, additionally, pays attention to the sector of electromobility as one of the most attractive and prospective sectors in terms of emission reduction.

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Section: Discussionmentioning

confidence: 99%

Problems of Selected Sectors of Biofuels for Transport in Poland

et al. 2021

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“…It contributes significantly to the enhancement of system reliability. The battery is used to store the extra electricity generated from other power sources and release it when there is an energy shortage [43]. In batteries, the ratio of useful output energy to useful input energy is known as round-trip efficiency.…”

Section: Batterymentioning

confidence: 99%

Design and Optimization of a Grid-Connected Solar Energy System: Study in Iraq

et al. 2022

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Hybrid energy systems (HESs) consisting of both conventional and renewable energy sources can help to drastically reduce fossil fuel utilization and greenhouse gas emissions. The optimal design of HESs requires a suitable control strategy to realize the design, technical, economic, and environmental objectives. The aim of this study is to investigate the optimum design of a grid-connected PV/battery HES that can address the load requirements of a residential house in Iraq. The MATLAB Link in the HOMER software was used to develop a new dispatch strategy that predicts the upcoming solar production and electricity demand. A comparison of the modified strategy with the default strategies, including load following and cycle charging in HOMER, is carried out by considering the techno-economic and environmental perspectives. According to optimization studies, the modified strategy results in the best performance with the least net present cost (USD 33,747), unmet load (87 kWh/year), grid purchases (6188 kWh/year), and CO2 emission (3913 kg/year). Finally, the sensitivity analysis was performed on various critical parameters, which are found to affect the optimum results on different scales. Taking into consideration the recent advocacy efforts aimed at achieving the sustainable development targets, the models proposed in this paper can be used for a similar system design and operation planning that allow a shift to more efficient dispatch strategies of HESs.

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“…The main source for generating electric energy is fossil fuels, which are a finite resource and have detrimental environmental impacts (such as increased greenhouse gases) [3]. Thus, there is a universal intention to reduce the harmful environmental impacts of electricity production [4]. Recent investigations have demonstrated that if energy consumption stays at the same rate, fossil fuel reserves will be depleted in the next 50-60 years [5].…”

Section: Energy Management In Distribution Systemsmentioning

confidence: 99%

Effective Energy Management via False Data Detection Scheme for the Interconnected Smart Energy Hub–Microgrid System under Stochastic Framework

et al. 2021

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During the last few years, attention has overwhelmingly focused on the integrated management of urban services and the demand of customers for locally-based supply. The rapid growth in developing smart measuring devices has made the underlying systems more observable and controllable. This exclusive feature has led the system designers to pursue the implementation of complex protocols to provide faster services based on data exchanges. On the other hand, the demands of consumers for locally-based supply could cause a disjunction and islanding behavior that demands to be dealt with by precise action. At first, keeping a centralization scheme was the main priority. However, the advent of distributed systems opened up new solutions. The operation of distributed systems requires the implementation of strong communication links to boost the existing infrastructure via smart control and supervision, which requires a foundation and effective investigations. Hence, necessary actions need to be taken to frustrate any disruptive penetrations into the system while simultaneously benefiting from the advantages of the proposed smart platform. This research addresses the detection of false data injection attacks (FDIA) in energy hub systems. Initially, a multi-hub system both in the presence of a microgrid (the interconnected smart energy hub-based microgrid system) and without it has been modeled for energy management in a way that allows them to cooperate toward providing energy with each other. Afterward, an FDIA is separately exerted to all three parts of the energy carrier including the thermal, water, and electric systems. In the absence of FDIA detection, the impact of FDIA is thoroughly illustrated on energy management, which considerably contributes to non-optimal operation. In the same vein, the intelligent priority selection based reinforcement learning (IPS-RL) method is proposed for FDIA detection. In order to model the uncertainty effects, the unscented transformation (UT) is applied in a stochastic framework. The results on the IEEE standard test system validate the system’s performance.

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Techno-Economic Assessment of a Grid-Independent Hybrid Power Plant for Co-Supplying a Remote Micro-Community with Electricity and Hydrogen

Cited by 41 publications

References 54 publications

Problems of Selected Sectors of Biofuels for Transport in Poland

Problems of Selected Sectors of Biofuels for Transport in Poland

Design and Optimization of a Grid-Connected Solar Energy System: Study in Iraq

Effective Energy Management via False Data Detection Scheme for the Interconnected Smart Energy Hub–Microgrid System under Stochastic Framework

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